Data Science Courses

413 Courses

Udemy

Data Science: Deep Learning and Neural Networks in Python

The MOST in-depth look at neural network theory for machine learning, with both pure Python and Tensorflow code

Udemy

Paid Course

12 hours 7 minutes

On-Demand

Udemy

Probability for Statistics and Data Science

Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions

Udemy

Paid Course

3 hours 40 minutes

On-Demand

Udemy

Data Storytelling and Data Visualization Mastery

Data Storytelling and Data Visualization Mastery | Udemy Unlock the Power of Data Visualization and Analytics to Drive Data-Driven Insights with our Data Storytelling and Data Visualization Mastery course. Offered by Udemy, this course falls under categories such as Python Courses, Data Science Courses, Data Visualizatio.

Udemy

Paid Course

5 hours 46 minutes

On-Demand

Udemy

Complete SQL Bootcamp for Data Science, Analytics, Marketing

Complete SQL Bootcamp for Data Science, Analytics, Marketing Complete SQL Bootcamp for Data Science, Analytics, Marketing Join the Complete SQL Bootcamp designed to help you master SQL for job interview preparation, data analysis, big data, and business intelligence. This comprehensive c.

Udemy

Paid Course

1 hour 37 minutes

On-Demand

Udemy

Qlik Sense for Data Science and BI

Qlik Sense for Data Science and BI | Udemy Master Qlik Sense with our comprehensive course designed to teach you step-by-step using real-world challenges. This hands-on approach ensures you learn by doing, making it perfect for those eager to advance their skills in Data Science and Business Intelligence. Offered by: Udemy Categories: Busines.

Udemy

Paid Course

5 hours 33 minutes

On-Demand

Pluralsight

Big Picture: Enterprise Data Management

Big Picture: Enterprise Data Management Data has become ‘the’ corporate asset of the twenty-first century. In this course, you will learn how organizations manage data through the many disciplines of enterprise data management, such as governance, modeling, engineering, and analytics. Over the last decade, technology has given us the ability to.

Pluralsight

Free Trial Available

1-2 hours

On-Demand

Udemy

Practical Linear Regression in R for Data Science in R

Practical Linear Regression in R for Data Science | Udemy Course Practical Linear Regression in R for Data Science Enroll in the Udemy course to master practical linear regression using R. This course covers the essentials of machine learning, deep learning, statistics, and artificial intelligence. Provider: Udemy C.

Udemy

Paid Course

2-3 hours

On-Demand

Pluralsight

Communicating Expectations to the Business

Communicating Expectations to the Business In this course, Communicating Expectations to the Business, you will gain foundational knowledge essential for managing stakeholders' expectations regarding data science, machine learning, and augmented intelligence solutions. First, you will learn what is required for a successful data science solution..

Pluralsight

Free Trial Available

On-Demand

Udemy

Create Analytics Dashboard with PowerBi and Tableau

Create Analytics Dashboard with PowerBi and Tableau Learn to create Visualization Reports on Tableau, encompassing key areas such as Data Analysis, Data Science, and Business Intelligence with Power BI. Enhance your skills in data visualization with two leading tools in the industry, Power BI and Tableau.

Udemy

Paid Course

1-2 hours

On-Demand

Udemy

Complete Data Science Training with Python for Data Analysis

Complete Data Science Training with Python for Data Analysis | Udemy Join the Complete Data Science Training with Python for Data Analysis. This course is designed for beginners and offers an introduction to the world of data science. You will learn the essential techniques and methods of data analysis using Python. Discover how to utilize popul.

Udemy

Paid Course

12 hours 56 minutes

On-Demand

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Learning Paths for Career Advancement

Data Scientist works with company data, analyses it, looks for potential dependencies, draws conclusions on this basis and, if necessary, builds visualisations. To solve such tasks, the specialist uses mathematical algorithms, development tools and special programmes. A Data Scientist understands how to build a forecast and helps to make the right decisions.

This specialist uses Data Science methods to process large amounts of information. He builds and tests models of data behaviour. This is how he finds patterns in them and predicts future values. For example, knowing everything about the demand for a product earlier, Data Scientist helps the company to make a forecast about sales in the near future. All models are built thanks to machine learning algorithms.

Usually Data Scientists become for the following reasons:

There is a desire to learn a promising and highly paid profession.

There is experience in a related industry, but you want to move to a new, more demanded direction. Data Scientists are often programmers, marketers, financiers and business analysts.

In professional activities or scientific research, it is necessary to apply innovative technologies: big data, neural networks, artificial intelligence.

To work in Data Science you need find best data science and ai courses for improving programming skills and knowledge of maths beyond the school curriculum.

Course Benefits and Features

Why choose online artificial intelligence and data science courses?

Classes are taught by experienced programmers and analysts who explain complex material, such as probability theory or mathematical analysis in an easy-to-understand way with examples.

Recordings of all lessons are stored in your personal account. You will not have gaps in your knowledge, because webinars can be watched repeatedly at any time. The videos will stay with you forever.

After each topic there is a practical task. The tasks gradually become more complex, and by the end of the course you will build a neural network or recommendation system. That is, you will have projects ready for your portfolio.

If you cannot cope with a question on your own, the tutor will help you. He will point out mistakes and give recommendations.

Many schools help with finding a job for free, and also invite students for internships, so you will have the opportunity to gain experience in a real project.

Excellent knowledge of maths, statistics, programming languages, English, as well as creativity, communication and critical thinking: employers are willing to pay more for specialists with this set of skills.

How to Enroll in Data Science and AI Courses?

Let's tell you in detail what steps you need to go through to become a Data Science specialist:

Study mathematics and linear algebra. If you have knowledge within the school curriculum, you can start with books that explain the basic concepts in simple language: derivative, differential, matrix and so on.

Any analytics uses mathematical statistics and probability theory - these are the next big topics you should familiarise yourself with.

Working in Data Science is impossible without knowledge of programming languages. For a beginner, Python is suitable - it is relatively simple, flexible and feature-rich.

The next step is to learn machine learning algorithms: "with a teacher", "without a teacher", "with reinforcement". You need to learn how to collect data for analysis and visualise it.

Having sorted out the theory, move on to practice. For example, you can look for an assistant position or an internship in large IT companies!

Data Science Courses

Data Science: Deep Learning and Neural Networks in Python

Probability for Statistics and Data Science

Data Storytelling and Data Visualization Mastery

Complete SQL Bootcamp for Data Science, Analytics, Marketing

Qlik Sense for Data Science and BI

Big Picture: Enterprise Data Management

Practical Linear Regression in R for Data Science in R

Communicating Expectations to the Business

Create Analytics Dashboard with PowerBi and Tableau

Complete Data Science Training with Python for Data Analysis

How to train in Data Science and become one from scratch?

Learning Paths for Career Advancement

Course Benefits and Features

How to Enroll in Data Science and AI Courses?